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» Recognition Performance of a Structured Language Model
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ICASSP
2011
IEEE
14 years 5 months ago
Multi-class Model M
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
Ahmad Emami, Stanley F. Chen
ICASSP
2011
IEEE
14 years 5 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
ICASSP
2009
IEEE
15 years 8 months ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero
ICASSP
2009
IEEE
15 years 8 months ago
Lattice-based MLLR for speaker recognition
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
Marc Ferras, Claude Barras, Jean-Luc Gauvain
ICASSP
2008
IEEE
15 years 7 months ago
Gaze-contingent asr for spontaneous, conversational speech: An evaluation
There has been little work that attempts to improve the recognition of spontaneous, conversational speech by adding information from a loosely-coupled modality. This study investi...
Neil Cooke, Martin J. Russell